Combining GWAS and population genomic analyses to characterize coevolution in a legume-rhizobia symbiosis.


Journal

Molecular ecology
ISSN: 1365-294X
Titre abrégé: Mol Ecol
Pays: England
ID NLM: 9214478

Informations de publication

Date de publication:
07 2023
Historique:
revised: 03 06 2022
received: 04 03 2022
accepted: 04 07 2022
medline: 11 7 2023
pubmed: 7 7 2022
entrez: 6 7 2022
Statut: ppublish

Résumé

The mutualism between legumes and rhizobia is clearly the product of past coevolution. However, the nature of ongoing evolution between these partners is less clear. To characterize the nature of recent coevolution between legumes and rhizobia, we used population genomic analysis to characterize selection on functionally annotated symbiosis genes as well as on symbiosis gene candidates identified through a two-species association analysis. For the association analysis, we inoculated each of 202 accessions of the legume host Medicago truncatula with a community of 88 Sinorhizobia (Ensifer) meliloti strains. Multistrain inoculation, which better reflects the ecological reality of rhizobial selection in nature than single-strain inoculation, allows strains to compete for nodulation opportunities and host resources and for hosts to preferentially form nodules and provide resources to some strains. We found extensive host by symbiont, that is, genotype-by-genotype, effects on rhizobial fitness and some annotated rhizobial genes bear signatures of recent positive selection. However, neither genes responsible for this variation nor annotated host symbiosis genes are enriched for signatures of either positive or balancing selection. This result suggests that stabilizing selection dominates selection acting on symbiotic traits and that variation in these traits is under mutation-selection balance. Consistent with the lack of positive selection acting on host genes, we found that among-host variation in growth was similar whether plants were grown with rhizobia or N-fertilizer, suggesting that the symbiosis may not be a major driver of variation in plant growth in multistrain contexts.

Identifiants

pubmed: 35793264
doi: 10.1111/mec.16602
doi:

Banques de données

RefSeq
['GCA_003473485.1', 'Medtr5g094210', 'Medtr7g063220', 'Medtr7g078700', 'Medtr8g067470', 'Medtr8g465280', 'MT35v5_contig_51603_1', 'MT35v5_contig_52215_1', 'MT35v5_contig_55897_1', 'MT4Noble_057132', 'Medtr1g027020', 'Medtr4g073400', 'Medtr5g007630', 'Medtr5g026460']

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

3798-3811

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2022 The Authors. Molecular Ecology published by John Wiley & Sons Ltd.

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Auteurs

Brendan Epstein (B)

Department of Plant and Microbial Biology, University of Minnesota, St. Paul, Minnesota, USA.

Liana T Burghardt (LT)

Department of Plant Sciences, The University of Pennsylvania, University Park, Pennsylvania, USA.

Katy D Heath (KD)

Department of Plant Biology, University of Illinois, Urbana, Illinois, USA.
Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana, Illinois, USA.

Michael A Grillo (MA)

Department of Biology, Loyola University Chicago, Chicago, Illinois, USA.

Adam Kostanecki (A)

Department of Plant and Microbial Biology, University of Minnesota, St. Paul, Minnesota, USA.

Tuomas Hämälä (T)

Department of Plant and Microbial Biology, University of Minnesota, St. Paul, Minnesota, USA.
School of Life Sciences, University of Nottingham, Nottingham, UK.

Nevin D Young (ND)

Department of Plant and Microbial Biology, University of Minnesota, St. Paul, Minnesota, USA.
Department of Plant Pathology, University of Minnesota, St. Paul, Minnesota, USA.

Peter Tiffin (P)

Department of Plant and Microbial Biology, University of Minnesota, St. Paul, Minnesota, USA.

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